ESR1

Karan Gul Chugani - ESR1

 

 

Background:

Karan Chugani graduated from the University of Strathclyde with a Bachelor in Electrical and Electronic Engineering. He later obtained a Master of Science degree in Biomedical Engineering from Imperial College London, where his thesis had the goal of using unsupervised learning to better understand how the human brain controls movement. Previously, Karan had interned in the Neurorehabilitation Lab of Imperial College London, where he worked on implementing machine learning algorithms on stroke rehabilitation devices.

 

Research interests:

Deep learning, unsupervised learning and digital signal processing.

 

ESR1: Quantifying Privacy with Application to Mobile User Interaction

 

Objectives:

The specific research topic of this position is to develop theory and methodologies to quantify privacy in the context of data (traditional biometrics as well as touch and movement patterns, soft biometrics, and context information) acquired through the interaction of the user with mobile devices. A systematic study of the state of the art will be carried out. Multimodal datasets containing mobile user interaction data will be collected. New methods and metrics to better quantify privacy will be proposed and applied to the biometric data under consideration in continuous authentication schemes.

 

Main supervisor

Ruben Vera-Rodriguez

 

Co-supervisor

Richard Guest